> Markdown version of [/jobs/ext/3614177-senior-data-engineer-cloud-data-integration-migration](https://www.wearedevelopers.com/jobs/ext/3614177-senior-data-engineer-cloud-data-integration-migration). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer (Cloud, Data Integration & Migration) - **Company:** NECSWS - **Location:** UK (Remote available) - **Experience:** Expert - **Salary:** £62,463.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Business Analytics Applications, Microsoft Azure, Cloud Computing, Cloud Database, Cloud Engineering, Data as a Services, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Migration, Data Profiling, Data Systems, Data Warehousing, Data Lakes, Data Pipelines - **Published:** October 8, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5917680070 ## About the Role The successful candidate will have strong experience in data engineering, data integration, ETL/ELT development, data migration, data quality, and cloud-native analytics platforms. They will work closely with technical and business stakeholders to deliver scalable, secure, and high-quality data solutions. ## Description We are seeking an experienced Senior Data Engineer to join our growing Data Services team. This is a hands-on technical role focused on designing, building, and supporting cloud-based data solutions across AWS and Azure platforms., * Design, develop and maintain scalable ETL and ELT pipelines. * Build data integration solutions across cloud, on-premise, and third-party systems. * Design and implement robust data migration solutions, including extraction, transformation, validation, reconciliation, and cutover activities. * Perform data profiling, root cause analysis, and data quality assessments. * Develop and optimise data warehouse, data lake, and lakehouse solutions. * Produce source-to-target mappings, transformation rules, and technical documentation. * Support data governance, security, and compliance requirements. * Work collaboratively with stakeholders to understand requirements and deliver effective solutions. * Troubleshoot complex data issues and implement sustainable solutions.